After successful completion of the course, students are able to understand real-time visualization concepts and analyse implementation code examples. The covered concepts include High-Performance Computing, GPGPU for Real-Time Visualization and Visualization, and Real-Time Visual Analytics.
Advanced programming using compute shaders with simultaneous rendering in graphics shaders
Utilization of modern graphics hardware concepts: GPGPU
Real-time GPU-Processing of Fluid Simulation
Real-time Molecular Visualization
Real-time Global Volume Illumination
High-Performance Computing
Real-Time Visual Analytics
Real-Time Visualizatin and Filtering of Ultrasound Data
Real-Time Large Graph Visualization
ECTS breakdown: 3 ECTS = 75 hours
37.5 hours - implementation, presentation, and documentation of the lab assignment
37.5 hours - lecture attendance and preparation for oral exam
While the foundations will be covered briefly, this is an advanced lecture. Prior attendence of the Computer Graphics lecture and lab course as well as the Visualization 1 and Visualization 2 lecture and lab course are therefore recommended.